How do people understand questions about cause and prevent? Some theories propose that people affirm that A causes B if A's occurrence makes a difference to B's occurrence in one way or another. Other theories propose that A causes B if some quantity or symbol gets passed in some way from A to B. The aim of our studies is to compare these theories' ability to explain judgements of causation and prevention. We describe six experiments that compare judgements for causal (...) paths that involve a mechanism, i.e. a continuous process of transmission or exchange from cause to effect, against paths that involve no mechanism yet a change in the cause nevertheless brings about a change in the effect. Our results show that people prefer to attribute cause when a mechanism links cause to effect. In contrast, prevention is sensitive both to the presence of an interruption to a causal mechanism and to a change in the outcome in the absence of a mechanism. In this sense, ‘prevent’ means something different than ‘cause not'. We discuss the implications of our results for existing theories of causation. (shrink)

This commentary on coderre & katz, wiesenfeld-hallin et al., and dickenson focuses on: (a) the brain as an under-recognized contributor to pain facilitation at the spinal cord; (b) these brain-to-spinal pathways being activated by learning or by body infection/inflammation; and (c) the resultant spinal release of anti-analgesic neuropeptides, activators of the NMDA-NO cascade, and activators of glia.

Three studies were conducted to explore the psychological determinants of COVID-deterrent behaviors. In Study 1, using data collected and analyzed both before and after the release of COVID-19 vaccines, mask-wearing, other preventative behaviors like social distancing, and vaccination intentions were positively related to assessments of the Coronavirus Behavioral Health Mindset ; belief in the credibility of science; progressive political orientation; less use of repressive and more use of sensitization coping; and the attribution of COVID-19 safety to effort rather than ability, (...) powerful forces, fate, or luck. In Study 2, favorable COVID-19 vaccination intentions were related to greater willingness to work, lower emotional distress, and greater customer experience mindset. Study 3 examined the personality and motives of individuals who volunteered to help deliver COVID-19 inoculations to the local community. The vaccine-giving volunteers, especially those with prosocial motives, had high CVBHM scores, belief in the credibility of science, low use of repressive coping, greater attribution of COVID-19 protection to effort, low likelihood of voting conservative, were older, and had more education than others. The majority of public health volunteers expressed prosocial motives to help people or join a cause, but many expressed the personal motives of getting the COVID-19 vaccination for themselves, conveying a public image of compassion, or structuring time. Based on the three research studies, a COVID-19 Mindset Hierarchy model is proposed to integrate the results. (shrink)

BackgroundPreprint usage is growing rapidly in the life sciences; however, questions remain on the relative quality of preprints when compared to published articles. An objective dimension of quality that is readily measurable is completeness of reporting, as transparency can improve the reader’s ability to independently interpret data and reproduce findings.MethodsIn this observational study, we initially compared independent samples of articles published in bioRxiv and in PubMed-indexed journals in 2016 using a quality of reporting questionnaire. After that, we performed paired comparisons (...) between preprints from bioRxiv to their own peer-reviewed versions in journals.ResultsPeer-reviewed articles had, on average, higher quality of reporting than preprints, although the difference was small, with absolute differences of 5.0% [95% CI 1.4, 8.6] and 4.7% [95% CI 2.4, 7.0] of reported items in the independent samples and paired sample comparison, respectively. There were larger differences favoring peer-reviewed articles in subjective ratings of how clearly titles and abstracts presented the main findings and how easy it was to locate relevant reporting information. Changes in reporting from preprints to peer-reviewed versions did not correlate with the impact factor of the publication venue or with the time lag from bioRxiv to journal publication.ConclusionsOur results suggest that, on average, publication in a peer-reviewed journal is associated with improvement in quality of reporting. They also show that quality of reporting in preprints in the life sciences is within a similar range as that of peer-reviewed articles, albeit slightly lower on average, supporting the idea that preprints should be considered valid scientific contributions. (shrink)

To call attention to and motivate action on ethical issues in business or society, messengers often criticize groups for wrongdoing and ask these groups to change their behavior. When criticizing target groups, messengers frequently identify and express concern about harm caused to a victim group, and in the process address a target group by criticizing them for causing this harm and imploring them to change. However, we find that when messengers criticize a target group for causing harm to a victim (...) group in this way—expressing _singular concern_ for the victim group—members of the target group infer, often incorrectly, that the messenger views the target group as less moral and unworthy of concern. This inferred lack of moral concern reduces criticism acceptance and prompts backlash from the target group. To address this problem, we introduce _dual concern_ messaging—messages that simultaneously communicate that a target group causes harm to a victim group and express concern for the target group. A series of several experiments demonstrate that dual concern messages reduce inferences that a critical messenger lacks moral concern for the criticized target group, increase the persuasiveness of the criticism among members of the target group, and reduce backlash from consumers against a corporate messenger. When pursuing justice for victims of a target group, dual concern messages that communicate concern for the victim group _as well as_ the target group are more effective in fostering openness toward criticism, rather than defensiveness, in a target group, thus setting the stage for change. (shrink)

Should people get vaccinated for the sake of others? What could ground—and limit—the normative claim that people ought to do so? In this paper, we propose a reasons-based consequentialist account of vaccination for the benefit of others. We outline eight harm-based and probabilistic factors that, we argue, give people moral reasons to get vaccinated. Instead of understanding other-directed vaccination in terms of binary moral duties (i.e., where people either have or do not have a moral duty to get vaccinated), we (...) develop a scalar approach according to which people can have stronger or weaker moral reasons to get vaccinated in view of the moral good of vaccination. One advantage of our approach is that it can capture why a person might have strong moral reasons to get vaccinated with Vaccine A, but only weak moral reasons to get vaccinated with Vaccine B. We discuss theoretical strengths of our approach and provide a case study of vaccination against COVID-19 to demonstrate its practical significance. (shrink)

Previous accounting ethics research berates auditors for ethical lapses that contribute to the failure of Andersen (e.g., Duska, R.: 2005, Journal of Business Ethics 57, 17–29; Staubus, G.: 2005, Journal of Business Ethics 57, 5–15; however, some of the blame must also fall on regulatory and professional bodies that exist to mitigate auditors’ ethical lapses. In this paper, we consider the ethical and economic context that existed and facilitated Andersen’s failure. Our analysis is grounded in Akerlof’s (1970, Quarterly Journal of (...) Economics August, 488–500) Theory of the Market for Lemons and we characterize the market for audit reports as a market for lemons. Consistent with Akerlof’s model, we consider the appropriateness of the countervailing mechanisms that existed at the time of Andersen’s demise that appeared to have effectively failed in counteracting Andersen’s ethical shortcomings. Finally, we assess the appropriateness of the remedies proposed by the Sarbanes–Oxley Act of 2002 (SOA) to ensure that similar ethical lapses will not occur in the future. Our analysis indicates that the SOA regulatory reforms should counteract some of the necessary conditions of the Lemons Model, and thereby mitigate the likelihood of audit failures. However, we contend that the effectiveness of the SOA critically depends upon the focus and attention of the␣Public Companies Accounting Oversight Board (PCAOB) towards assessing the ethical climates of public accounting firms. Assessments by the PCAOB of public accounting firm’s ethical climate are needed to sufficiently ensure that public accounting firms effectively promote and maintain audit quality in situations where unconscious bias or economic incentives may erode the public accounting firm’s independence. (shrink)

This collection of essays, offered in honor of the distinguished career of prominent political philosophy professor Clifford Orwin, brings together internationally renowned scholars to provide a wide context and discuss various aspects of the virtue of “humanity” through the history of political philosophy.

This collection of essays, offered in honor of the distinguished career of prominent political philosophy professor Clifford Orwin, brings together internationally renowned scholars to provide a wide context and discuss various aspects of the virtue of “humanity” through the history of political philosophy.

The conclusions of Barbey & Sloman (B&S) crucially depend on evidence for different representations of statistical information. Unfortunately, a muddled distinction made among these representations calls into question the authors' conclusions. We clarify some notions of statistical representations which are often confused in the literature. These clarifications, combined with new empirical evidence, do not support a dual-process model of judgment.

Fifteen distinguished contributors free present up-to-date arguments for the libertarian alternative. Part One introduces libertarianism and outlines some approaches by which it might be justified. Part Two addresses how a society that embraces libertarian principles might deal with various social problems, especially those that seem to require government intervention. Part Three responds to criticisms of libertarianism from other political perspectives and presents a libertarian critique of those viewpoints. Contributors: N. Scott Arnold; James E. Chesher; Mike Gemmell; John Hospers; Gregory R. (...) Johnson; Loren E. Lomasky; Tibor R. Machan; Eric Mack; Jan Narveson; Douglas B. Rasmussen; Daniel Shapiro; Aeon Skoble; Mark Thornton; Douglas J. Den Uyl; Steven Yates. (shrink)

This book is a collection of secondary essays on America's most important philosophic thinkers—statesmen, judges, writers, educators, and activists—from the colonial period to the present. Each essay is a comprehensive introduction to the thought of a noted American on the fundamental meaning of the American regime.

For the past few years, philosophers have heard about the exciting new work in linguistics centering about the contributions of Noam Chomsky and those sympathetic with his approach. The editors of the anthology share the conviction that this work points to a new and more adequate approach to the traditional problems of the philosophy of language which supersedes both positivist and ordinary-language approaches. They have done an excellent job in collecting some of the best papers of recent work in linguistics (...) including papers of Quine, Harris, Chomsky, Klima, Halle, Ziff, Katz, Carnap, Church, Fodor, Lenneberg, and Stevens. The anthology provides an excellent opportunity for philosophers to assess the contribution and significance of recent developments in empirical linguistics.—R. J. B. (shrink)

Let T be superstable. We say a type p is weakly minimal if R(p, L, ∞) = 1. Let $M \models T$ be uncountable and saturated, H = p(M). We say $D \subset H$ is locally modular if for all $X, Y \subset D$ with $X = \operatorname{acl}(X) \cap D, Y = \operatorname{acl}(Y) \cap D$ and $X \cap Y \neq \varnothing$ , dim(X ∪ Y) + dim(X ∩ Y) = dim(X) + dim(Y). Theorem 1. Let p ∈ S(A) be weakly (...) minimal and D the realizations of $\operatorname{stp}(a/A)$ for some a realizing p. Then D is locally modular or p has Morley rank 1. Theorem 2. Let H, G be definable over some finite A, weakly minimal, locally modular and nonorthogonal. Then for all $a \in H\backslash\operatorname{acl}(A), b \in G\operatorname{acl}(A)$ there are a' ∈ H, b' ∈ G such that $a' \in \operatorname{acl}(abb' A)\backslash\operatorname{acl}(aA)$ . Similarly when H and G are the realizations of complete types or strong types over A. (shrink)

Theorem A. Let M be a left R-module such that Th(M) is small and weakly minimal, but does not have Morley rank 1. Let $A = \mathrm{acl}(\varnothing) \cap M$ and $I = \{r \in R: rM \subset A\}$ . Notice that I is an ideal. (i) F = R/I is a finite field. (ii) Suppose that a, b 0 ,...,b n ∈ M and a b̄. Then there are s, r i ∈ R, i ≤ n, such that sa + (...) ∑ i ≤ n r ib i ∈ A and $s \not\in I$ . It follows from Theorem A that algebraic closure in M is modular. Using this and results in [B1] and [B2], we obtain Theorem B. Let M be as in Theorem A. Then Vaught's conjecture holds for Th(M). (shrink)

ABSTRACT I argue that this examination and appreciation for the shift to abductive reasoning should be extended to the intersection of neuroscience and novel brain-computer interfaces too. This paper highlights the implications of applying abductive reasoning to personalized implantable neurotechnologies. Then, it explores whether abductive reasoning is sufficient to justify insurance coverage for devices absent widespread clinical trials, which are better applied to one-size-fits-all treatments. INTRODUCTION In contrast to the classic model of randomized-control trials, often with a large number of (...) subjects enrolled, precision medicine attempts to optimize therapeutic outcomes by focusing on the individual.[i] A recent publication highlights the strengths and weakness of both traditional evidence-based medicine and precision medicine.[ii] Plus, it outlines a tension in the shift from evidence-based medicine’s inductive reasoning style (the collection of data to postulate general theories) to precision medicine’s abductive reasoning style (the generation of an idea from the limited data available).[iii] The paper’s main example is the application of precision medicine for the treatment of cancer.[iv] I argue that this examination and appreciation for the shift to abductive reasoning should be extended to the intersection of neuroscience and novel brain-computer interfaces too. As the name suggests, brain-computer interfaces are a significant advancement in neurotechnology that directly connects someone’s brain to external or implanted devices.[v] Among the various kinds of brain-computer interfaces, adaptive deep brain stimulation devices require numerous personalized adjustments to their settings during the implantation and computation stages in order to provide adequate relief to patients with treatment-resistant disorders. What makes these devices unique is how adaptive deep brain stimulation integrates a sensory component to initiate the stimulation. While not commonly at the level of sophistication as self-supervising or generative large language models,[vi] they currently allow for a semi-autonomous form of neuromodulation. This paper highlights the implications of applying abductive reasoning to personalized implantable neurotechnologies. Then, it explores whether abductive reasoning is sufficient to justify insurance coverage for devices absent widespread clinical trials, which are better applied to one-size-fits-all treatments.[vii] ANALYSIS I. The State of Precision Medicine in Oncology and the Epistemological Shift While a thorough overview of precision medicine for the treatment of cancer is beyond the scope of this article, its practice can be roughly summarized as identifying clinically significant characteristics a patient possesses (e.g., genetic traits) to land on a specialized treatment option that, theoretically, should benefit the patient the most.[viii] However, in such a practice of stratification patients fall into smaller and smaller populations and the quality of evidence that can be applied to anyone outside these decreases in turn.[ix] As inductive logic helps to articulate, the greater the number of patients that respond to a particular therapy the higher the probability of its efficacy. By straying from this logical framework, precision medicine opens the treatment of cancer to more uncertainty about the validity of these approaches to the resulting disease subcategories.[x] Thus, while contemporary medical practices explicitly describe some treatments as “personalized”, they ought not be viewed as inherently better founded than other therapies.[xi] A relevant contemporary case of precision medicine out of Norway focuses on the care of a patient with cancer between the ventricles of the heart and esophagus, which had failed to respond to the standard regimen of therapies over four years.[xii] In a last-ditch effort, the patient elected to pay out-of-pocket for an experimental immunotherapy (nivolumab) at a private hospital. He experienced marked improvements and a reduction in the size of the tumor. Understandably, the patient tried to pursue further rounds of nivolumab at a public hospital. However, the hospital initially declined to pay for it given the “lack of evidence from randomised clinical trials for this drug relating to this [patient’s] condition.”[xiii] In rebuttal to this claim, the patient countered that he was actually similar to a subpopulation of patients who responded in “open‐label, single arm, phase 2 studies on another immune therapy drug” (pembrolizumab).[xiv] Given this interpretation of the prior studies and the patient’s response, further rounds of nivolumab were approved. Had the patient not had improvements in the tumor’s size following a round of nivolumab, then pembrolizumab’s prior empirical evidence in isolation would have been insufficient, inductively speaking, to justify his continued use of nivolumab.[xv] The case demonstrates a shift in reasoning from the traditional induction to abduction. The phenomenon of ‘cancer improvement’ is considered causally linked to nivolumab and its underlying physiological mechanisms.[xvi] However, “the weakness of abductions is that there may always be some other better, unknown explanation for an effect. The patient may for example belong to a special subgroup that spontaneously improves, or the change may be a placebo effect. This does not mean, however, that abductive inferences cannot be strong or reasonable, in the sense that they can make a conclusion probable.”[xvii] To demonstrate the limitations of relying on the abductive standard in isolation, commentators have pointed out that side effects in precision medicine are hard to rule out as being related to the initial intervention itself unless trends from a group of patients are taken into consideration.[xviii] As artificial intelligence (AI) assists the development of precision medicine for oncology, this uncertainty ought to be taken into consideration. The implementation of AI has been crucial to the development of precision medicine by providing a way to combine large patient datasets or a single patient with a large number of unique variables with machine learning to recommend matches based on statistics and probability of success upon which practitioners can base medical recommendations.[xix] The AI is usually not establishing a causal relationship[xx] – it is predicting. So, as AI bleeds into medical devices, like brain-computer interfaces, the same cautions about using abductive reasoning alone should be carried over. II. Responsive Neurostimulation, AI, and Personalized Medicine Like precision medicine in cancer treatment, computer-brain interface technology similarly focuses on the individual patient through personalized settings. In order to properly expose the intersection of AI, precision medicine, abductive reasoning, and implantable neurotechnologies, the descriptions of adaptive deep brain stimulation systems need to deepen.[xxi] As a broad summary of adaptive deep brain stimulation, to provide a patient with the therapeutic stimulation, a neural signal, typically referred to as a local field potential,[xxii] must first be detected and then interpreted by the device. The main adaptive deep brain stimulation device with premarket approval, the NeuroPace Responsive Neurostimulation system, is used to treat epilepsy by detecting and storing “programmer-defined phenomena.”[xxiii] Providers can optimize the detection settings of the device to align with the patient’s unique electrographic seizures as well as personalize the reacting stimulation’s parameters.[xxiv] The provider adjusts the technology based on trial and error. One day machine learning algorithms will be able to regularly aid this process in myriad ways, such as by identifying the specific stimulation settings a patient may respond to ahead of time based on their electrophysiological signatures.[xxv] Either way, with AI or programmers, adaptive neurostimulation technologies are individualized and therefore operate in line with precision medicine rather than standard treatments based on large clinical trials. Contemporary neurostimulation devices are not usually sophisticated enough to be prominent in AI discussions where the topics of neural networks, deep learning, generative models, and self-attention dominate the conversation. However, implantable high-density electrocorticography arrays (a much more sensitive version than adaptive deep brain stimulation systems use) have been used in combination with neural networks to help patients with neurologic deficits from a prior stroke “speak” through a virtual avatar.[xxvi] In some experimental situations, algorithms are optimizing stimulation parameters with increasing levels of independence.[xxvii] An example of neurostimulation that is analogous to the use of nivolumab in Norway surrounds a patient in the United States who was experiencing both treatment-resistant OCD and temporal lobe epilepsy.[xxviii]Given the refractory nature of her epilepsy, implantation of an adaptive deep brain stimulation system was indicated. As a form of experimental therapy, her treatment-resistant OCD was also indicated for the off-label use of an adaptive deep brain stimulation set-up. Another deep brain stimulation lead, other than the one implanted for epilepsy, was placed in the patient’s right nucleus accumbens and ventral pallidum region given the correlation these nuclei had with OCD symptoms in prior research. Following this, the patient underwent “1) ambulatory, patient-initiated magnet-swipe storage of data during moments of obsessive thoughts; (2) lab-based, naturalistic provocation of OCD-related distress (naturalistic provocation task); and (3) lab-based, VR [virtual reality] provocation of OCD-related distress (VR provocation task).”[xxix] Such signals were used to identify when to deliver the therapeutic stimulation in order to counter the OCD symptoms. Thankfully, following the procedure and calibration the patient exhibited marked improvements in their OCD symptoms and recently shared her results publicly.[xxx] In both cases, there is a similar level of abductive justification for the efficacy of the delivered therapy. In the case study in which the patient was treated with adaptive deep brain stimulation, they at least had their neural activity tested in various settings to determine the optimum parameters for treatment to avoid them being based on guesswork. Additionally, the adaptive deep brain stimulation lead was already placed before the calibration trials were conducted, meaning that the patient had already taken on the bulk of the procedural risk before the efficacy could be determined. Such an efficacy test could have been replicated in the first patient’s cancer treatment, had it been biopsied and tested against the remaining immunotherapies in vitro. Yet, in the case of cancer with few options, one previous dose of a drug that appeared to work on the patient may justify further doses. However, as the Norwegian case presents, corroboration with known responses to a similar drug (from a clinical trial) could be helpful to validate the treatment strategy. (It should be noted that both patients were resigned to these last resort options regardless of the efficacy of treatment.) There are some elements of inductive logic seen with adaptive deep brain stimulation research in general. For example, abductively the focus could be that patient X’s stimulation parameters are different from patient Y’s and patient Z’s. In contrast, when grouped as subjects who obtained personalized stimulation, patients X, Y, and Z demonstrate an inductive aspect to this approach’s safety and/or efficacy. The OCD case holds plenty of abductive characteristics in line with precision medicine’s approach to treating cancer and as more individuals try the method, there will be additional data. With the gradual integration of AI into brain-computer interfaces in the name of efficacy, this reliance on abduction will continue, if not grow, over time. Moving forward, if a responsive deep brain stimulation treatment is novel and individualized (like the dose of nivolumab) and there is some other suggestion of efficacy (like clinical similarities to other patients in the literature), then it may justify insurance coverage for the investigative intervention, absent other unrelated reasons to deny it. III. Ethical Implications and Next Steps While AI’s use in oncology and neurology is not yet as prominent as its use in other fields (e.g., radiology), it appears to be on the horizon for both.[xxxi] AI can be found in both the functioning of the neurotechnologies as well as the implementation of precision medicine. The increasing use of AI may serve to further individualize both oncologic and neurological therapies. Given these implications and the handful of publications cited in this article, it is important to have a nuanced evaluation of how these treatments, which heavily rely on abductive justification, ought to be managed. The just use an abductive approach may be difficult as AI infused precision medicine is further pursued. At baseline, such technology relies on a level of advanced technology literacy among the general public and could exclude populations who lack access to basic technological infrastructure or know-how from participation.[xxxii] Even among nations with adequate infrastructure, as more patients seek out implantable neurotechnologies, which require robust healthcare resources, the market will favor patient populations that can afford this complex care.[xxxiii] If patients already have the means to pay for an initial dose/use of a precision medicine product out of pocket, should insurance providers be required to cover subsequent treatments?[xxxiv] That is, if a first dose of a cancer drug or a deep brain stimulator over its initial battery life is successful, patients may feel justified in having the costs of further treatments covered. The Norwegian patient’s experience implies there is a precedent for the idea that some public insurance companies ought to cover successful cancer therapies, however, insurance companies may not all see themselves as obligated to cover neurotechnologies that rely on personalized settings or that are based on precision/abductive research more than on clinical trials. CONCLUSION The fact that the cases outlined above rely on abductive style of reasoning implies that there may not be as strong a justification for coverage by insurance, as they are both experimental and individualized, when compared to the more traditional large clinical trials in which groups have the same or a standardized protocol (settings/doses). If a study is examining the efficacy of a treatment with a large cohort of patients or with different experimental groups/phases, insurance companies may conclude that the resulting symptom improvements are more likely to be coming from the devices themselves. A preference for inductive justification may take priority when ruling in favor of funding someone’s continued use of an implantable neurostimulator. There are further nuances to this discussion surrounding the classifications of these interventions as research versus clinical care that warrant future exploration, since such a distinction is more of a scale[xxxv] than binary and could have significant impacts on the “right-to-try” approach to experimental therapies in the United States.[xxxvi] Namely, given the inherent limitations of conducting large cohort trials for deep brain stimulation interventions on patients with neuropsychiatric disorders, surgically innovative frameworks that blend abductive and inductive methodologies, like with sham stimulation phases, have traditionally been used.[xxxvii] Similarly, for adaptive brain-computer interface systems, if there are no large clinical trials and instead only publications that demonstrate that something similar worked for someone else, then, in addition to the evidence that the first treatment/dose worked for the patient in question, the balance of reasoning would be valid and arguably justify insurance coverage. As precision approaches to neurotechnology become more common, frameworks for evaluating efficacy will be crucial both for insurance coverage and for clinical decision making. ACKNOWLEDGEMENT This article was originally written as an assignment for Dr. Francis Shen’s “Bioethics & AI” course at Harvard’s Center for Bioethics. I would like to thank Dr. Shen for his comments as well as my colleagues in the Lázaro-Muñoz Lab for their feedback. - [i] Jonathan Kimmelman and Ian Tannock, “The Paradox of Precision Medicine,” Nature Reviews. Clinical Oncology 15, no. 6 (June 2018): 341–42, https://doi.org/10.1038/s41571-018-0016-0. [ii] Henrik Vogt and Bjørn Hofmann, “How Precision Medicine Changes Medical Epistemology: A Formative Case from Norway,” Journal of Evaluation in Clinical Practice 28, no. 6 (December 2022): 1205–12, https://doi.org/10.1111/jep.13649. [iii] David Barrett and Ahtisham Younas, “Induction, Deduction and Abduction,” Evidence-Based Nursing 27, no. 1 (January 1, 2024): 6–7, https://doi.org/10.1136/ebnurs-2023-103873. [iv] Vogt and Hofmann, “How Precision Medicine Changes Medical Epistemology,” 1208. [v] Wireko Andrew Awuah et al., “Bridging Minds and Machines: The Recent Advances of Brain-Computer Interfaces in Neurological and Neurosurgical Applications,” World Neurosurgery, May 22, 2024, S1878-8750(24)00867-2, https://doi.org/10.1016/j.wneu.2024.05.104. [vi] Mark Riedl, “A Very Gentle Introduction to Large Language Models without the Hype,” Medium (blog), May 25, 2023, https://mark-riedl.medium.com/a-very-gentle-introduction-to-large-language-models-without-the-hype-5 f67941fa59e. [vii] David E. Burdette and Barbara E. Swartz, “Chapter 4 - Responsive Neurostimulation,” in Neurostimulation for Epilepsy, ed. Vikram R. Rao (Academic Press, 2023), 97–132, https://doi.org/10.1016/B978-0-323-91702-5.00002-5. [viii] Kimmelman and Tannock, 2018. [ix] Kimmelman and Tannock, 2018. [x] Simon Lohse, “Mapping Uncertainty in Precision Medicine: A Systematic Scoping Review,” Journal of Evaluation in Clinical Practice 29, no. 3 (April 2023): 554–64, https://doi.org/10.1111/jep.13789. [xi] Kimmelman and Tannock, “The Paradox of Precision Medicine.” [xii] Vogt and Hofmann, 1206. [xiii] Vogt and Hofmann, 1206. [xiv] Vogt and Hofmann, 1206. [xv] Vogt and Hofmann, 1207. [xvi] Vogt and Hofmann, 1207. [xvii] Vogt and Hofmann, 1207. [xviii] Vogt and Hofmann, 1210. [xix] Mehar Sahu et al., “Chapter Three - Artificial Intelligence and Machine Learning in Precision Medicine: A Paradigm Shift in Big Data Analysis,” in Progress in Molecular Biology and Translational Science, ed. David B. Teplow, vol. 190, 1 vols., Precision Medicine (Academic Press, 2022), 57–100, https://doi.org/10.1016/bs.pmbts.2022.03.002. [xx] Stefan Feuerriegel et al., “Causal Machine Learning for Predicting Treatment Outcomes,” Nature Medicine 30, no. 4 (April 2024): 958–68, https://doi.org/10.1038/s41591-024-02902-1. [xxi] Sunderland Baker et al., “Ethical Considerations in Closed Loop Deep Brain Stimulation,” Deep Brain Stimulation 3 (October 1, 2023): 8–15, https://doi.org/10.1016/j.jdbs.2023.11.001. [xxii] David Haslacher et al., “AI for Brain-Computer Interfaces,” 2024, 7, https://doi.org/10.1016/bs.dnb.2024.02.003. [xxiii] Burdette and Swartz, “Chapter 4 - Responsive Neurostimulation,” 103–4; “Premarket Approval (PMA),” https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpma/pma.cfm?id=P100026. [xxiv] Burdette and Swartz, “Chapter 4 - Responsive Neurostimulation,” 104. [xxv] Burdette and Swartz, 126. [xxvi] Sean L. Metzger et al., “A High-Performance Neuroprosthesis for Speech Decoding and Avatar Control,” Nature 620, no. 7976 (August 2023): 1037–46, https://doi.org/10.1038/s41586-023-06443-4. [xxvii] Hao Fang and Yuxiao Yang, “Predictive Neuromodulation of Cingulo-Frontal Neural Dynamics in Major Depressive Disorder Using a Brain-Computer Interface System: A Simulation Study,” Frontiers in Computational Neuroscience 17 (March 6, 2023), https://doi.org/10.3389/fncom.2023.1119685; Mahsa Malekmohammadi et al., “Kinematic Adaptive Deep Brain Stimulation for Resting Tremor in Parkinson’s Disease,” Movement Disorders 31, no. 3 (2016): 426–28, https://doi.org/10.1002/mds.26482. [xxviii] Young-Hoon Nho et al., “Responsive Deep Brain Stimulation Guided by Ventral Striatal Electrophysiology of Obsession Durably Ameliorates Compulsion,” Neuron 0, no. 0 (October 20, 2023), https://doi.org/10.1016/j.neuron.2023.09.034. [xxix] Nho et al. [xxx] Nho et al.; Erik Robinson, “Brain Implant at OHSU Successfully Controls Both Seizures and OCD,” OHSU News, accessed March 3, 2024, https://news.ohsu.edu/2023/10/25/brain-implant-at-ohsu-successfully-controls-both-seizures-and-ocd. [xxxi] Awuah et al., “Bridging Minds and Machines”; Haslacher et al., “AI for Brain-Computer Interfaces.” [xxxii] Awuah et al., “Bridging Minds and Machines.” [xxxiii] Sara Green, Barbara Prainsack, and Maya Sabatello, “The Roots of (in)Equity in Precision Medicine: Gaps in the Discourse,” Personalized Medicine 21, no. 1 (January 2024): 5–9, https://doi.org/10.2217/pme-2023-0097. [xxxiv] Green, Prainsack, and Sabatello, 7. [xxxv] Robyn Bluhm and Kirstin Borgerson, “An Epistemic Argument for Research-Practice Integration in Medicine,” The Journal of Medicine and Philosophy: A Forum for Bioethics and Philosophy of Medicine 43, no. 4 (July 9, 2018): 469–84, https://doi.org/10.1093/jmp/jhy009. [xxxvi] Vijay Mahant, “‘Right-to-Try’ Experimental Drugs: An Overview,” Journal of Translational Medicine 18 (June 23, 2020): 253, https://doi.org/10.1186/s12967-020-02427-4. [xxxvii] Michael S. Okun et al., “Deep Brain Stimulation in the Internal Capsule and Nucleus Accumbens Region: Responses Observed during Active and Sham Programming,” Journal of Neurology, Neurosurgery & Psychiatry 78, no. 3 (March 1, 2007): 310–14, https://doi.org/10.1136/jnnp.2006.095315. (shrink)

Theorem A. Suppose that T is superstable and p is a nontrivial type of U-rank 1. Then R(p, L, ∞) = 1. Theorem B. Suppose that T is totally transcendental and p is a nontrivial type of U-rank 1. Then p has Morley rank 1.

Aaron Snyder and Fred Dretske present an argument for the proposition that singular causal sequences, such as S caused b, need not be related to a general regularity, that an event of type S is always followed by an event of type b. Therefore, they assert that a claim of causal relation does not require a regular observation of effect following cause or cause preceeding effect. To reinforce their assertion, they present the following case: Box R contains a randomizing device; (...) once activated it proceeds, in a perfectly random manner, to one of its one hundred different terminal states. Each of the terminal states may be supposed to be equally probable so that the probability of the box ending in state number 17 is.01. One can think of the device as embodying certain quantum mechanical processes—e.g. the emission of an electron … toward a screen which has one hundred different areas suitably marked off as terminal sights. Attached to Box R is a loaded revolver which fires when the terminal state happens to be number 17. We take this device and place it next to a cat, point the revolver at the cat and activate the box. Things go badly for the cat; the improbable occurs and the cat is killed. The cat's master, if informed of our doings, would almost certainly insist that we had killed his cat… Though we designate our actions as the cause, and the cat's death as the result, there is no regular or uniform connection between actions of the first sort and results of the latter sort … We seem to have a situation which we are inclined to describe in a way which implies the presence of a causal connection between C and E and, yet, a situation in which it is clear that in identical circumstances something of type C will not even generally be followed by something of type E. (shrink)

We investigate the algebraic structure of the upper semi-lattice formed by the recursively enumerable Turing degrees. The following strong generalization of Lachlan's Nonsplitting Theorem is proved: Given n ≥ 1, there exists an r.e. degree d such that the interval $\lbrack\mathbf{d, 0'}\rbrack \subset\mathbf{R}$ admits an embedding of the n-atom Boolean algebra B n preserving (least and) greatest element, but also such that there is no (n + 1)-tuple of pairwise incomparable r.e. degrees above d which pairwise join to 0' (and (...) hence, the interval $\lbrack\mathbf{d, 0'}\rbrack \subset\mathbf{R}$ does not admit a greatest-element-preserving embedding of any lattice L which has n + 1 co-atoms, including B n + 1 ). This theorem is the dual of a theorem of Ambos-Spies and Soare, and yields an alternative proof of their result that the theory of R has infinitely many one-types. (shrink)

Moral Problems in Higher Education brings together key essays that explore ethical issues in academia. The editor and contributors-all noted philosophers and educators-consider such topics as academic freedom and tenure, free speech on campus, sexual harassment, preferential student admissions, affirmative action in faculty appointments, and the ideal of a politically neutral university. Chapters address possible restrictions on research because of moral concerns, the structure of peer review, telling the truth to colleagues and students, and concerns raised by intercollegiate athletics. Cahn (...) selects two key readings in each area to offer a readable introductory guide to these critical subjects for students studying academic ethics and higher education policy. In addition to the selections and a general introduction, Cahn provides study questions for use in the classroom. Contributors include Scott F. Aikin, Derek Bok, William G. Bowen, Myles Brand, Richard T. DeGeorge, Paul D. Eisenberg, Leslie Pickering Francis, Martin P. Golding, Philip Kitcher, Charles R. Lawrence III, David Lewis, Paul J. Olscamp, Nancy Tuana, David Shatz, George Sher, Robert L. Simon, Robert B. Talisse, Stephan Thernstrom, Abigail Thernstrom, Laurence Thomas, Robert Paul Wolff, and the editor. (shrink)

Book reviewed in this article: The Philosophical Assessment of Theology: Essays in Honour of Frederick C. Copleston. Edited by Gerard J. Hughes. Language, Meaning and God: Essays in Honour of Herbert McCabe OP. Edited by Brian Davies. God Matters. By Herbert McCabe. Philosophies of History: A Critical Essay. By Rolf Gruner. The ‘Phaedo’: A Platonic Labyrinth. By Ronna Burger. Lessing's ‘Ugly Ditch’: A Study of Theology and History. By Gordon E. Michalson, Jr. Peirce. By Christopher Hookway. Frege: Tradition and Influence. (...) Edited by Crispin Wright. The Private World. Selections from the Diario Íntimo and Selected Letters 1890–1936. By Miguel de Unamuno, translated by Anthony Kerrigan, Allen Lacy, Martin Nozick. A Third Collection: Papers by Bernard J.F. Lonergan, S.J. Edited by Frederick E. Crowe. Philosophical Papers. By Charles Taylor. 2 vols. Principles of Language and the Mind. By T.P. Waldron. The Principle of Double Effect: A Critical Appraisal of its Traditional Understanding and its Modern Reinterpretation. By L.I. Ugorji. Human Rights: Fact or Fancy By Henry B. Veatch. Enlightenment and Alienation: An Essay towards a Trinitarian Theology. By Colin Gunton. Only Human. By Don Cupitt. The Roots of the Modern Christian Tradition. Edited by E. Rpzanne Elder. ‘Africanische Theologie’: Darstellung und Dialog.. By Heribert Rücker. African Religions in Western Conceptual Schemes. By Emefie Ikenga Metuh. The Destiny of Man: Dagaare Beliefs in Dialogue with Christian Eschatology. By Edward Kuukure. The World in Between: Christian Healing and the Struggle for Spiritual Survival. By E. Milingo. Theology in Africa. By Kwesi A. Dickson. The Future of Anglican Theology. Edited by M. Darrol Bryant. Reconciling. By John Coventry. The Genesis of Faith: The Depth Theology of Abraham Joshua Heschel. By John C. Merkle. Anthropology in Theological Perspective. By Wolfhart Pannenberg. Contemporary Approaches to the Study of Religion. Volume II: The Social Sciences. Edited by Frank Whaling. American Sociology: Worldly Rejections of Religion and Their Directions. By Arthur J. Vidich and Stanford M. Lyman. A Critical Theory of Religion: The Frankfurt School. By Rudolf J. Siebert. The Anthropology of Evil. Edited by David Parkin. The Wealth of Christians. By Redmond Mullin. Biblical Interpretation in Ancient Israel. By Michael Fishbane. Reading the Old Testament: An Introduction. By Lawrence Boadt. Old Testament Theology: Its History and Development. By John H. Hayes and Frederick C. Prussner. God's Conflict with the Dragon and the Sea: Echoes of a Canaanite Myth in the Old Testament. By John Day. Law and Wisdom from Ben Sira to Paul. By Eckhard J. Schnabel. The Order of the Synoptics: Why Three Synoptic Gospels? By Bernard Orchard and Harold Riley. The Making of Mark. By J. Duncan M. Derrett. Argumentation bei Paulus. By Folker Siegert. Christians and the Military: The Early Experience. Edited by Robert J. Daly. Origienes' Eucharistielehre im Streit der Konfessionen; Die Auslegungsgeschichte seit der Reformation. By Lothar Lies. L'église de Cappadoce au IVe siècle d'après la correspondance de Basile de Césarée. By Benpit Gain Cave Monasteries of Byzantine Cappadocia. By Lyn Rodley. Augustine of Hippo, Selected Writings. Translated with an Introduction by Mary T. Clark. Wisdom from St Augustine. By Vernon J. Bourke. A History of Religious Ideas, Vol. 3: From Muhammad to the Age of Reforms. By Mircea Eliade. Les Lectionnaires Copies Annuels: Basse‐Egypte. By Ugo Zanetti. Humanism and Scholasticism in Late Medieval Germany. By James H. Overfield. Wyclif. By Anthony Kenny. The Lady and the Virgin: Image, Attitude and Experience in Twelfth Century France. By Penny Shine Gold. Unquiet Souls: Fourteenth‐Century Saints and Their Religious Milieu. By Richard Kieckhefer. Luther: Theologian for Catholics and Protestants. Edited by George Yule. La Réforme Catholique: Le Combat de Maldonat. By Paul Schmitt. Roman Catholicism in England: From the Elizabethan Settlement to the Second Vatican Council. By Edward Norman. The Life of David Brainerd. Edited by Norman Pettit. Nineteenth Century Religious Thought in the West. Edited by Ninian Smart, John Clayton, Patrick Sherry and Steven T. Katz The Significance of Jesus Christ in Asia. By Hans Staffner. Is the Virgin Mary Appearing at Medjugorje? By René Laurentin and Ljudevit Rupčić. Mary Queen of Peace: Is the Mother of God Appearing in Medjugorje? By Lucy Rooney and Robert Fancy. (shrink)

The rapid expansion of Big Tech companies into various societal domains (e.g., health, education, and agriculture) over the past decade has led to increasing concerns among governments, regulators, scholars, and civil society. While existing theoretical frameworks—often revolving around privacy and data protection, or market and platform power—have shed light on important aspects of Big Tech expansionism, there are other risks that these frameworks cannot fully capture. In response, this editorial proposes an alternative theoretical framework based on the notion of sphere (...) transgressions, which draws on political philosopher Michael Walzer's theory of justice. The editorial not only introduces the sphere transgressions framework, but it also highlights its potential to generate novel research questions. Furthermore, this editorial introduces eight articles and one commentary from a group of interdisciplinary scholars that critically examine Big Tech expansionism by reflecting on this expansionism from the perspective of different societal spheres or by engaging with the sphere transgressions framework itself. (shrink)

Cooperation is common across nonhuman animal taxa, from the hunting of large game in lions to the harvesting of building materials in ants. Theorists have proposed a number of models to explain the evolution of cooperative behavior. These ultimate explanations, however, rarely consider the proximate constraints on the implementation of cooperative behavior. Here we review several types of cooperation and propose a suite of cognitive abilities required for each type to evolve. We propose that several types of cooperation, though theoretically (...) possible and functionally adaptive, have not evolved in some animal species because of cognitive constraints. We argue, therefore, that future modeling efforts and experimental investigations into the adaptive function of cooperation in animals must be grounded in a realistic assessment of the psychological ingredients required for cooperation. Such an approach can account for the puzzling distribution of cooperative behaviors across taxa, especially the seemingly unique occurrence of cooperation observed in our own species. (shrink)

William of Malmesbury's Regesta Regum Anglorum is one of the great histories of England, and one of the most important historical works of the European Middle Ages. Although its focus is national, its scope encompasses most of Western Europe and beyond, providing a full-scale account of the First Crusade. Apart from its formidable learning, it is characterized by narrative skill and entertainment value - with topics including unpowered flight and Henry I's zoo. This edition in the Oxford Medieval Texts series (...) is the first modern translation and edition. A full historical introduction is supplied in Volume II. (shrink)